9Yf,ddlmZmZGddeeZy))GetableAPIResourceUpdatableAPIResourcecDeZdZdZdZefdZefdZxZS)Metadataz3 A wrapper around Metric Metadata HTTP API metricscD|s tdtt||S)z Get metadata information on an existing Datadog metric param metric_name: metric name (ex. system.cpu.idle) :returns: Dictionary representing the API's JSON response #'metric_name' parameter is required)KeyErrorsuperrget)cls metric_name __class__s T/var/www/highfloat_scraper/venv/lib/python3.12/site-packages/datadog/api/metadata.pyr z Metadata.gets&@A AXs' 44c H|s tdtt|dd|i|S)a Update metadata fields for an existing Datadog metric. If the metadata does not exist for the metric it is created by the update. :param type: type of metric (ex. "gauge", "rate", etc.) see http://docs.datadoghq.com/metrictypes/ :type type: string :param description: description of the metric :type description: string :param short_name: short name of the metric :type short_name: string :param unit: unit type associated with the metric (ex. "byte", "operation") see http://docs.datadoghq.com/units/ for full list :type unit: string :param per_unit: per unit type (ex. "second" as in "queries per second") see http://docs.datadoghq.com/units/ for full list :type per_unit: string :param statsd_interval: statsd flush interval for metric in seconds (if applicable) :type statsd_interval: integer :returns: Dictionary representing the API's JSON response >>> api.Metadata.update(metric_name='api.requests.served', metric_type="counter") r id)r r rupdate)r rparamsrs rrzMetadata.updates/@@A AXs*DkDVDDr) __name__ __module__ __qualname____doc___resource_name classmethodr r __classcell__)rs@rrrs7N 5 5"E"ErrN)datadog.api.resourcesrrrrrrrs K8E!#78Er